metadata
license: apache-2.0
base_model: google/muril-base-cased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- accuracy
model-index:
- name: Muril-base-finetune-Tamil-questions
results: []
Muril-base-finetune-Tamil-questions
This model is a fine-tuned version of google/muril-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4081
- Precision: 0.9205
- Recall: 0.9198
- Accuracy: 0.9198
- F1-score: 0.9199
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | Accuracy | F1-score |
|---|---|---|---|---|---|---|---|
| 1.5732 | 1.0 | 305 | 1.2601 | 0.8743 | 0.8858 | 0.8858 | 0.8790 |
| 0.9937 | 2.0 | 610 | 0.7465 | 0.8988 | 0.9098 | 0.9098 | 0.9033 |
| 0.5354 | 3.0 | 915 | 0.4557 | 0.9044 | 0.9158 | 0.9158 | 0.9092 |
| 0.2862 | 4.0 | 1220 | 0.3772 | 0.9198 | 0.9198 | 0.9198 | 0.9193 |
| 0.1724 | 5.0 | 1525 | 0.3306 | 0.9274 | 0.9259 | 0.9259 | 0.9261 |
| 0.1235 | 6.0 | 1830 | 0.3763 | 0.9214 | 0.9158 | 0.9158 | 0.9171 |
| 0.0902 | 7.0 | 2135 | 0.3808 | 0.9229 | 0.9218 | 0.9218 | 0.9219 |
| 0.0644 | 8.0 | 2440 | 0.3974 | 0.9229 | 0.9218 | 0.9218 | 0.9220 |
| 0.0575 | 9.0 | 2745 | 0.3930 | 0.9224 | 0.9218 | 0.9218 | 0.9218 |
| 0.0483 | 10.0 | 3050 | 0.4081 | 0.9205 | 0.9198 | 0.9198 | 0.9199 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2